We are very pleased to announce that our group got a paper accepted for presentation at ESWA (International Journal for Expert Systems with Applications). With an Impact Factor of 4.3 the journal is one of the major venues in for intelligent systems and information exchange. The focus of the journal is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide.
Here are the pre-prints of the accepted papers with their abstracts:
- “IOTA: Interlinking of Heterogeneous Multilingual Open Fiscal DaTA” by Fathoni.A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann, Hajira Jabeen ( Elsevier Journal of Expert Systems with Applications).
Abstract: Open budget data are among the most frequently published datasets of the open data ecosystem, intended to improve public administrations and government transparency. Unfortunately, the prospects of analysis across different open budget data remain limited due to schematic and linguistic differences. Budget and spending datasets are published together with descriptive classifications. Various public administrations typically publish the classifications and concepts in their regional languages. These classifications can be exploited to perform a more in-depth analysis, such as comparing similar items across different, cross-lingual datasets. However, in order to enable such analysis, a mapping across the multilingual classifications of datasets is required. In this paper, we present the framework for Interlinking of Heterogeneous Multilingual Open Fiscal DaTA (IOTA). IOTA makes use of machine translation followed by string similarities to map concepts across different datasets. To the best of our knowledge, IOTA is the first framework to offer scalable implementation of string similarity using distributed computing. The results demonstrate the applicability of the proposed multilingual matching, the scalability of the proposed framework, and an in-depth comparison of string similarity measures.